Robert Oates
The Application of a Dendric Cell Algorithm to a Robotic Classifier
Oates, Robert; Greensmith, Julie; Aickelin, Uwe; Garibaldi, Jon; Kendall, Graham
Authors
JULIE GREENSMITH julie.greensmith@nottingham.ac.uk
Lecturer
Uwe Aickelin
Jon Garibaldi
Graham Kendall
Abstract
The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.
Citation
Oates, R., Greensmith, J., Aickelin, U., Garibaldi, J., & Kendall, G. The Application of a Dendric Cell Algorithm to a Robotic Classifier.
Conference Name | Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS 2007) |
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Deposit Date | Oct 12, 2007 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/1017687 |
Files
07icaris_bob.pdf
(420 Kb)
PDF
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